export type FeedbackKind = "feedback" | "bug";
export type FeedbackSeverity = "minor" | "moderate" | "significant";
export interface FeedbackReport {
    id: string;
    kind: FeedbackKind;
    category?: string;
    severity?: FeedbackSeverity;
    message: string;
    email?: string;
    skill_id?: string;
    context: {
        cli_version: string;
        platform: string;
        tier: string;
        device_id?: string;
        timestamp: string;
        project?: string;
    };
}
export interface BuildReportInput {
    kind: FeedbackKind;
    message: string;
    category?: string;
    severity?: FeedbackSeverity;
    email?: string;
    skill_id?: string;
    cliVersion?: string;
    projectPath?: string;
}
/** Assemble a feedback report with auto-captured, non-sensitive context. Pure-ish. */
export declare function buildReport(input: BuildReportInput): FeedbackReport;
/**
 * Append the report to a project's `.project-ai/FEEDBACK_LOG.yaml` if present, so
 * `skill-learner` can consume it locally. No-op (returns false) when there is no log.
 */
export declare function appendToProjectLog(projectPath: string, report: FeedbackReport): boolean;
export declare function queueReport(report: FeedbackReport): void;
/**
 * Offline-first submit: queue the report, then attempt to flush the queue to the
 * backend. Returns whether THIS report reached the server (false = safely queued).
 */
export declare function submitFeedback(report: FeedbackReport): Promise<{
    submitted: boolean;
}>;
/** Send queued reports to the backend; drop the ones the server accepts. */
export declare function flushFeedback(): Promise<void>;
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